Machine learning of brain structural biomarkers for Alzheimer's disease (AD) diagnosis, prediction of disease progression, and amyloid beta deposition in the Japanese population

Abstract Introduction We developed machine learning (ML) designed to analyze structural brain magnetic resonance imaging (MRI), and trained it on the Alzheimer's Disease Neuroimaging Initiative (ADNI) database. In this study, we verified its utility in the Japanese population. Methods A total of 535...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Akihiko Shiino, Yoshitomo Shirakashi, Manabu Ishida, Kenji Tanigaki, Japanese Alzheimer's Disease Neuroimaging Initiative
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Wiley 2021-01-01
Schriftenreihe:	Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring
Schlagworte:	ADNI Alzheimer's disease artificial intelligence machine learning MRI
Online-Zugang:	https://doi.org/10.1002/dad2.12246
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